In this paper we show that images can be uniquely encoded in two different ways by the dynamics of geometric networks capable of achieving high accuracy unsupervised classification, without the need for any training of the network: Temporal sequences of activation patterns with and without STDP, and dynamical STDP mediated structural edge weight changes. To the best of our knowledge our results are the first of their kind [1]}, [2]}, [3]}.
